dimarDoOptimalImputation: dimarDoOptimalImputation
In kreutz-lab/DIMAR: Data-driven selection of an imputation algorithm in R
View source: R/dimarDoOptimalImputation.R
dimarDoOptimalImputation R Documentation
dimarDoOptimalImputation
Description
Performs imputation of the quantitative matrix with the given method (optimally selected by DIMA)
Usage
dimarDoOptimalImputation(mtx, method, lib = NULL)
Arguments
mtx
Quantitative matrix
method
Optimal imputation method
lib
R package of imputation method
Value
Imputed matrix
Examples
mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
Imp <- dimarDoOptimalImputation(mtx, 'impSeq')
kreutz-lab/DIMAR documentation built on Aug. 19, 2024, 11:07 a.m.
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View source: R/dimarDoOptimalImputation.R
| dimarDoOptimalImputation | R Documentation |
dimarDoOptimalImputation
Description
Performs imputation of the quantitative matrix with the given method (optimally selected by DIMA)
Usage
dimarDoOptimalImputation(mtx, method, lib = NULL)
Arguments
mtx |
Quantitative matrix |
method |
Optimal imputation method |
lib |
R package of imputation method |
Value
Imputed matrix
Examples
mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
Imp <- dimarDoOptimalImputation(mtx, 'impSeq')
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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